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Amazon Computer Science Jobs in Minnesota (NOW HIRING)

AI Solutions Architect

Minneapolis, MN

$65.75 - $86.75/hr

Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science ... Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or ...

A four-year degree in Computer Science or other related field * 2+ years of software testing and/or ... Experience testing products deployed to Amazon Web Services (AWS) * Strong experience in API ...

Engineer II - AI Foundations

Minneapolis, MN · Hybrid

$101K - $139K/yr

Bachelor's degree in IT, Computer Science, Engineering, Business, Marketing or related field OR ... Hands-on experience with cloud-native AI/ML services such as Vertex AI, Amazon SageMaker, or Azure ...

Engineer II - AI Foundations

Richfield, MN · Hybrid

$100K - $138K/yr

Bachelor's degree in IT, Computer Science, Engineering, Business, Marketing or related field OR ... Hands-on experience with cloud-native AI/ML services such as Vertex AI, Amazon SageMaker, or Azure ...

Bachelor's degree or higher in Computer Science, Information Technology, Software Engineering, or a ... Experience working across OCI and at least one additional cloud platform, including Amazon Web ...

Databricks Data Engineer

Minneapolis, MN

$119K - $143K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics ... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ...

... degree in Computer Science, Engineering, or a related field Ability to travel 50%, on average ... Amazon Web Services, Microsoft Azure, or Google Cloud Platform The wage range for this role takes ...

Cloud Engineer

Bemidji, MN · On-site

$31/hr

Participate in planning, implementation, and growth of our Amazon Web Services (AWS) or Microsoft ... Qualifications Associate Degree in computer science, math, engineering, or related field required.

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Amazon Computer Science information

See Minnesota salary details

$19.9K

$62.4K

$132.1K

How much do amazon computer science jobs pay per year?

As of Jun 22, 2026, the average yearly pay for amazon computer science in Minnesota is $62,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,921.00 and $81,130.00 per year, depending on experience, location, and employer.

What are typical projects or tasks for a Computer Science professional working at Amazon?

Computer Science professionals at Amazon often work on designing and optimizing large-scale software systems, developing new features for customer-facing applications, or improving backend infrastructure. Daily tasks might include writing high-quality code, reviewing peers’ code, participating in design discussions, and collaborating with cross-functional teams such as product managers, UX designers, and data scientists. You may also be expected to contribute to ongoing process improvements and explore innovative solutions for performance and scalability. The work is fast-paced and encourages creative problem-solving, giving professionals the chance to impact millions of customers globally.

Does Amazon hire computer science majors?

Yes, Amazon hires computer science majors for a variety of roles including software development, data engineering, and technical program management. Candidates typically need strong programming skills in languages like Java, Python, or C++, along with relevant coursework or experience in algorithms and systems design.

Is IT difficult to get hired at Amazon?

Getting hired for an Amazon computer science role can be competitive, often requiring strong technical skills, relevant experience, and a good understanding of Amazon's leadership principles. Candidates typically go through multiple interview rounds, including coding assessments and behavioral interviews, to demonstrate their qualifications.

What is an Amazon Computer Science job?

An Amazon Computer Science job typically involves designing, developing, and optimizing software and systems that support the company's vast technology infrastructure. These roles can include software development, machine learning, data science, and cloud computing, among others. Employees work on scalable and innovative solutions for e-commerce, AWS, artificial intelligence, and logistics. Strong programming skills, problem-solving abilities, and knowledge of algorithms and data structures are essential.

Is it possible to make 300k as a software engineer?

Achieving a salary of $300,000 as a software engineer is possible, especially at senior levels, in high-cost-of-living areas, or within large tech companies like Amazon. Factors such as experience, specialized skills, stock options, and performance bonuses significantly influence earning potential.

What are the key skills and qualifications needed to thrive in the Amazon Computer Science position, and why are they important?

To thrive in an Amazon Computer Science role, you need a strong background in computer science principles, programming (such as Java, C++, or Python), and a relevant degree in computer science or a related field. Familiarity with Amazon Web Services (AWS), distributed systems, and possibly certifications like AWS Certified Solutions Architect are often beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate in Amazon's fast-paced, team-oriented environment. These competencies are vital for creating innovative solutions, scaling complex systems, and meeting the high-performance standards at Amazon.

How much does Amazon pay computer science?

Salaries for computer science roles at Amazon vary based on experience, location, and position, but entry-level software engineers typically earn between $100,000 and $130,000 annually. More experienced roles or specialized positions can pay significantly higher, often exceeding $150,000 per year, with additional benefits such as stock options and bonuses.
What are the most commonly searched types of Amazon Computer Science jobs in Minnesota? The most popular types of Amazon Computer Science jobs in Minnesota are:
What are popular job titles related to Amazon Computer Science jobs in Minnesota? For Amazon Computer Science jobs in Minnesota, the most frequently searched job titles are:
AI Solutions Architect

AI Solutions Architect

Deloitte

Minneapolis, MN

$65.75 - $86.75/hr

Other

Posted 28 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world's greatest personalized and business friendly applications.

Recruiting for this role ends on 8/31/2026.

Work you'll do

As an AI Solutions Architect on the Insights, Innovation & Operate team, you will be responsible for...

  • Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements
  • Developing account growth strategies, managing pipelines, supporting proposal development, and driving deal closure activities with client decision-makers
  • Designing scalable technology and data architectures for artificial intelligence, machine learning, and generative artificial intelligence use cases, including secure and high-availability deployment models
  • Collaborating with architects, engineers, data scientists, and business stakeholders to align technical solutions with business requirements and implementation priorities
  • Overseeing execution of AI-powered solutions, including risk identification, ethical AI considerations, continuous improvement, and mentoring junior team members on technical practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients' businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value

Qualifications

Required:

  • Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science, Engineering, or Physics, or equivalent experience
  • 8+ years of experience in product sales, software engineering, technology architecture, or data engineering
  • 3+ years of experience leading artificial intelligence and machine learning solution sales, design, and deployment
  • 8+ years of experience leading technical teams, including onshore and offshore teams
  • 2+ years of experience architecting, building, and deploying machine learning, deep learning, or generative artificial intelligence solutions in production environments
  • Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and artificial intelligence and machine learning tools and frameworks
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in a technical field
  • Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world's greatest personalized and business friendly applications.

Recruiting for this role ends on 8/31/2026.

Work you'll do

As an AI Solutions Architect on the Insights, Innovation & Operate team, you will be responsible for...

  • Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements
  • Developing account growth strategies, managing pipelines, supporting proposal development, and driving deal closure activities with client decision-makers
  • Designing scalable technology and data architectures for artificial intelligence, machine learning, and generative artificial intelligence use cases, including secure and high-availability deployment models
  • Collaborating with architects, engineers, data scientists, and business stakeholders to align technical solutions with business requirements and implementation priorities
  • Overseeing execution of AI-powered solutions, including risk identification, ethical AI considerations, continuous improvement, and mentoring junior team members on technical practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients' businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value

Qualifications

Required:

  • Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science, Engineering, or Physics, or equivalent experience
  • 8+ years of experience in product sales, software engineering, technology architecture, or data engineering
  • 3+ years of experience leading artificial intelligence and machine learning solution sales, design, and deployment
  • 8+ years of experience leading technical teams, including onshore and offshore teams
  • 2+ years of experience architecting, building, and deploying machine learning, deep learning, or generative artificial intelligence solutions in production environments
  • Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and artificial intelligence and machine learning tools and frameworks
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in a technical field
  • Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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